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Novel periodic extensions of dynamic long memory regression models with autoregressive conditional heteroskedastic errors are considered for the analysis of daily electricity spot prices. The parameters of the model with mean and variance specifications are estimated simultaneously by the method...
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Many commodity markets contain a strong seasonal component not only at the price level, but also in volatility. In this … paper, the importance of seasonal behavior in the volatility for the pricing of commodity options is analyzed. We propose a … option valuation formulas are derived. We then empirically study the impact of the proposed seasonal stochastic volatility …
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Contemporaneous inference from economic data releases for policy and business decisions has become increasingly relevant in the high pace of the information age. The released data are typically filtered to eliminate seasonal patterns to reveal underlying trends and cycles. The nature of economic...
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We propose a new stochastic volatility model for pricing options on assets that exhibit seasonal trends in volatility … 3/2 stochastic volatility model, but includes a cyclical long-run volatility component. The model yields a closed …
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